Provenance: The Bridge Between Experiments and Data

by: Simon Miles, Paul Groth, Ewa Deelman, Karan Vahi, Gaurang Mehta, Luc Moreau

Computing in Science & Engineering, Vol. 10, No. 3. (2008), pp. 38-46.

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Abstract

Current scientific applications are often structured as workflows and rely on workflow systems to compile abstract experiment designs into enactable workflows that utilize the best available resources. The automation of this step, and of the workflow enactment, hides the details about how results are produced. Knowing how compilation and enactment occurred allows results to be reconnected with the experiment design. The authors investigate how provenance helps scientists connect their results with the actual execution that took place, their original experiment, and its inputs and parameters.

@article{citeulike:2877606, abstract = {Current scientific applications are often structured as workflows and rely on workflow systems to compile abstract experiment designs into enactable workflows that utilize the best available resources. The automation of this step, and of the workflow enactment, hides the details about how results are produced. Knowing how compilation and enactment occurred allows results to be reconnected with the experiment design. The authors investigate how provenance helps scientists connect their results with the actual execution that took place, their original experiment, and its inputs and parameters.}, author = {Miles, Simon and Groth, Paul and Deelman, Ewa and Vahi, Karan and Mehta, Gaurang and Moreau, Luc }, booktitle = {Computing in Science \& Engineering}, citeulike-article-id = {2877606}, doi = {http://dx.doi.org/10.1109/MCSE.2008.82}, journal = {Computing in Science \& Engineering}, number = {3}, pages = {38--46}, posted-at = {2008-06-09 17:38:22}, priority = {2}, title = {Provenance: The Bridge Between Experiments and Data}, url = {http://dx.doi.org/10.1109/MCSE.2008.82}, volume = {10}, year = {2008} }

RIS record

TY - JOUR ID - citeulike:2877606 L3 - citeulike-article-id:2877606 TI - Provenance: The Bridge Between Experiments and Data T2 - Computing in Science & Engineering JF - Computing in Science & Engineering VL - 10 IS - 3 SP - 38 EP - 46 N2 - Current scientific applications are often structured as workflows and rely on workflow systems to compile abstract experiment designs into enactable workflows that utilize the best available resources. The automation of this step, and of the workflow enactment, hides the details about how results are produced. Knowing how compilation and enactment occurred allows results to be reconnected with the experiment design. The authors investigate how provenance helps scientists connect their results with the actual execution that took place, their original experiment, and its inputs and parameters. AU - Miles, Simon AU - Groth, Paul AU - Deelman, Ewa AU - Vahi, Karan AU - Mehta, Gaurang AU - Moreau, Luc PY - 2008/// UR - http://dx.doi.org/10.1109/MCSE.2008.82 ER -

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